Staff Backend Engineer
About The Position
Our client is hiring a Staff Backend Engineer to help scale the backbone of their platform as they expand into new collectibles categories. This person will be a highly opinionated technical architect who can own large projects end-to-end — from designing container-based systems to launching new product categories and migrating legacy systems into scalable microservices. This is a strong fit for an engineer who can balance greenfield architecture with legacy modernization, enjoys working in a high-scale marketplace environment, and is comfortable using AI-powered development tools as part of their daily workflow.
Requirements
- 8+ years of backend engineering experience
- Strong experience designing and scaling backend systems in production
- Experience with container-based infrastructure, ideally EKS or Kubernetes-based environments
- Strong understanding of microservices architecture and monolith-to-microservices migrations
- Experience building systems that support high-volume transactions, marketplace workflows, or consumer-facing platforms
- Strong production reliability instincts, including observability, monitoring, and scalability planning
- Experience working with tools like Datadog, Sentry, or similar observability platforms
- Ability to own large technical projects end-to-end
- Strong architectural opinions with the ability to collaborate in a low-ego team environment
- Comfort using AI-powered development tools as part of the daily engineering workflow
- High ownership, strong communication, and a bias toward shipping
Responsibilities
- Design and scale container-based backend architecture using EKS
- Help scale backend systems from roughly 1.5B to 2.5B+ monthly transactions
- Build backend systems for new category launches with unique inventory, marketplace, and scaling requirements
- Own major backend projects from architecture through implementation, deployment, and iteration
- Migrate monolithic repositories into microservices while keeping existing systems stable
- Improve production reliability through observability, monitoring, and scalability planning
- Work with tools like Datadog and Sentry to identify, troubleshoot, and improve system performance
- Partner closely with DevOps, product, and cross-functional teams to ship reliable marketplace infrastructure
- Use AI-powered engineering tools, including Claude Code and Cursor, as part of the development and PR workflow
- Balance speed, reliability, and long-term architecture in a fast-paced consumer marketplace environment
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
